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Course Outline

Introduction to Artificial Intelligence

  • What is AI? Its history and evolution
  • OpenAI ChatGPT, Google Gemini, Microsoft Copilot, and similar tools

DeepSeek Overview

  • What is DeepSeek? Key features and capabilities
  • DeepSeek's architecture and underlying components
  • Applications of DeepSeek across various industries

AI Concepts

  • Data preprocessing and feature engineering
  • Model training and evaluation methods

DeepSeek Use Cases

  • Text generation and summarization
  • Sentiment analysis and classification
  • Real-world examples of DeepSeek in action

Ethical AI and Responsible Use

  • Understanding bias in AI models
  • Ethical considerations in AI development
  • Best practices for responsible AI use

Hands-on Exercises

  • Navigating DeepSeek's interface and tools
  • Building a simple AI model using DeepSeek
  • Analyzing and interpreting model outputs

Future Trends

  • Emerging trends in the field
  • DeepSeek's role in the future of AI
  • Opportunities for further learning and specialization

Summary and Next Steps

Requirements

  • A grasp of basic computer operations
  • No previous experience with AI is required

Target Audience

  • IT professionals keen on exploring AI
  • Business professionals investigating AI applications
 14 Hours

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